2023
DOI: 10.1016/j.hpj.2022.01.006
|View full text |Cite
|
Sign up to set email alerts
|

Genetic relatedness and association mapping of horticulturally valuable traits for the Ceiba plants using ddRAD sequencing

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 64 publications
0
3
0
Order By: Relevance
“…Furthermore, in order to facilitate effective breeding efforts, it is important to understand the genetic basis for desirable traits. Genetic markers associated with specific traits can be identified using techniques such as genome sequencing and association mapping [71].…”
Section: Milk-clotting Trialmentioning
confidence: 99%
“…Furthermore, in order to facilitate effective breeding efforts, it is important to understand the genetic basis for desirable traits. Genetic markers associated with specific traits can be identified using techniques such as genome sequencing and association mapping [71].…”
Section: Milk-clotting Trialmentioning
confidence: 99%
“…Ongoing optimization of library preparation has resulted in an easy accessed and utilized way for most of angiosperms ( Yang et al., 2016 ). The ddRAD methods has been employed for the construction of genetic linkage maps in cultivated species, Vitis vinifera among them ( Zhu et al., 2018 ; Han et al., 2022 ), and phylogenomics analyses ( Magris et al., 2021 ). Marrano et al.…”
Section: High-throughput Strategies For Genotyping Of Vitis...mentioning
confidence: 99%
“…Significantly higher coefficients have a stronger discriminatory effect on varieties. Although there are no definitive rules or conventional tests to determine the appropriate number of components and the cut-off limit for coefficients, some scholars use criteria such as: eigenvalue > 1, variance contribution > 4%, or coefficients > 0.30, to discriminate among varieties (Sanni et al 2012, Sharma et al 2014, Sahu et al 2021, Han et al 2022, Almarri et al 2023, Khan et al 2023. Based on these criteria, six components were selected as discriminating components for the varieties, which together accounted for 84.1% of the total variation (Table 2)…”
Section: Sabran Et Almentioning
confidence: 99%